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Paper Citation Record · LEDGER

On the identifiability of mixtures of ranking models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.13132.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2201.13132 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:15:11.854226Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T12:49:12.843105Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5a84e697-4de5-473b-8299-cc0681639635 · inbound

Clone-Robust AI Alignment cites this paper.

Clone-Robust AI Alignment On the identifiability of mixtures of ranking models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:11.854226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:11.854226Z digest=sha256:6a0a0923ec6e25723fbe59129c42411c3511d221436e6d8dc1fcd1e283a7bc05

Observation 4bdc156b-1a8c-44a1-927b-62721605be01 · inbound

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? cites this paper.

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? On the identifiability of mixtures of ranking models

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:49:12.965798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T12:49:11.935144Z digest=sha256:2a3483e526c1bc9f1d429766c5e9fe736ab5a10658e9e44e134907c86ce77747